QA Software Engineer 10350 – L2/L3 Networking | Python Automation | VxLAN EVPN

Qualifications

Experience: 2-5 Years

• BS or MS in EE/CS with 2 to 5 years of hands-on experience in functional, system test, and automation.
• Solid technical knowledge of data center networking — IP Fabric, VxLAN EVPN, and network virtualization concepts.
• Working knowledge of Ethernet, optics, and networking hardware.
• Knowledge of routing protocols (OSPF, IS-IS, BGP, Multicast) and network security fundamentals.
• Hands-on experience developing test automation using Python or Golang.
• Experience with test planning, requirement-to-testcase mapping, defect logging and tracking, and debugging.
• Exposure to AI/ML concepts or AI-assisted developer/testing tools (e.g., LLM-based assistants, GenAI copilots) applied to QA workflows.
• Strong verbal and written communication skills and the ability to collaborate cross-functionally.
• Highly motivated, self-driven, and eager to learn. Skillset Required Good knowledge and hands-on experience across most of the following areas: Networking
• IEEE 802.1 (Bridging, VLAN, STP, MAC security, LLDP).
• L2/L3 features (TCP/IP, VRRP, IGMP, IPv4/IPv6, ICMP/ICMPv6, ARP); basic IS-IS/BGP.
• Network debugging tools (Wireshark, ping, traceroute) and traffic generators (Ixia/Spirent). Test Automation
• Test scripting in Python or Golang; familiarity with automation frameworks and CI/CD (Jenkins/GitLab).
• Version control (Git) and defect/test management tools (JIRA, qTest).
• Exposure to Docker containerization and cloud environments (AWS, Azure, GCP) is a plus. AI in the Test Cycle
• Familiarity with using AI assistants to generate/augment test cases and test data.
• Interest in AI-based log analysis, failure triage, and test-coverage gap detection.
• Understanding of prompt basics for applying GenAI tools responsibly within QA workflows. Methodology Knowledge of testing methodologies, testing types, and the overall product life cycle